Spatio-temporal dynamics of brinjal prices and arrivals: A case study of theterai region markets in West Bengal

Authors

  • A Pooja Department of Agricultural Statistics, Faculty of Agriculture, Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India Author
  • D S Gupta Department of Agricultural Statistics, Faculty of Agriculture, Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India , North Bengal Agricultural University image/svg+xml Author
  • P Basak Department of Agricultural Statistics, Faculty of Agriculture, Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India , North Bengal Agricultural University image/svg+xml Author
  • M K Debnath Department of Agricultural Statistics, Faculty of Agriculture, Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India , North Bengal Agricultural University image/svg+xml Author
  • R Chatterjee Department of Vegetable and Spice Crops, Faculty of Horticulture, Uttar Banga Krishi Viswavidhyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India Author
  • T K Hath Department of Agricultural Entomology, Faculty of Agriculture, Uttar Banga Krishi Viswavidhyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India , North Bengal Agricultural University image/svg+xml Author
  • O J Sujayasree World Vegetable Center, South and Central Asia, ICRISAT Campus, Hyderabad, Telangana-502324, India , University of Hyderabad image/svg+xml Author

DOI:

https://doi.org/10.24154/jhs.v20i2.4263

Keywords:

Arrival, ITPA, Price, S-ITPA, Trend, Vegetable

Abstract

The study examined the trends and market dynamics for the prices and arrivals of brinjal (Solanum melongena L.) in the Terai region of West Bengal, employing robust and novel statistical methodologies to address challenges in agricultural market predictability. The research highlighted the impact of seasonality, perishability, and demand supply imbalances on price volatility. Standardized Innovative Polygon Trend Analysis, a non-parametric approach previously unexplored in horticultural studies, provided a comprehensive analysis of the intricate cause effect relationships between price and arrivals, capturing seasonal shifts, inter-period transitions, and non monotonic trends overlooked by conventional methods. Increased arrivals during winter and spring caused price deflation, while summer and autumn saw reduced arrivals and corresponding price inflation. Monsoon uncertainties led to irregular arrival fluctuations and elevated prices. November and December exhibited significant price changes. In Alipurduar and Jalpaiguri, arrivals followed an increasing trend except in winter, whereas Cooch Behar and Toofanganj showed consistently declining arrivals. The study demonstrated that S-IPTA could unravel seasonal behaviors and offer practical insights for farmers and policymakers to regulate production and supply chains effectively. By bridging research gaps, this pioneering use of S-IPTA can serve as a robust tool for analyzing agricultural market trends and improving decision-making.

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Author Biographies

  • A Pooja, Department of Agricultural Statistics, Faculty of Agriculture, Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India

    PhD Scholar (Agricultural Statistics), Department of Agricultural Statistics, Faculty of Agriculture, Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India

  • D S Gupta, Department of Agricultural Statistics, Faculty of Agriculture, Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India, North Bengal Agricultural University

    Professsor, Department of Agricultural Statistics, Faculty of Agriculture, Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India

  • P Basak, Department of Agricultural Statistics, Faculty of Agriculture, Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India, North Bengal Agricultural University

    Assistant Professor, Department of Agricultural Statistics, Faculty of Agriculture, Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India

  • M K Debnath, Department of Agricultural Statistics, Faculty of Agriculture, Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India, North Bengal Agricultural University

    Assistant Professor, Department of Agricultural Statistics, Faculty of Agriculture, Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India

  • R Chatterjee, Department of Vegetable and Spice Crops, Faculty of Horticulture, Uttar Banga Krishi Viswavidhyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India

    Professor, Department of Vegetable and Spice Crops, Faculty of Horticulture, Uttar Banga Krishi Viswavidhyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India

  • T K Hath, Department of Agricultural Entomology, Faculty of Agriculture, Uttar Banga Krishi Viswavidhyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India, North Bengal Agricultural University

    Professor, Department of Agricultural Entomology, Faculty of Agriculture, Uttar Banga Krishi Viswavidhyalaya (UBKV), Pundibari, Cooch Behar, West Bengal-736165, India

  • O J Sujayasree, World Vegetable Center, South and Central Asia, ICRISAT Campus, Hyderabad, Telangana-502324, India, University of Hyderabad

    Postharvest Specialist, World Vegetable Center, South and Central Asia, ICRISAT Campus, Hyderabad, Telangana-502324, India

References

Acar, E., Kankal, M., Akcay, F., & Şan, M. (2022). Innovative polygon trend analyses with star graph for rainfall and temperature data in agricultural regions of Turkey. Environmental Earth Sciences, 81(23). https://doi.org/10.1007/s12665-022-10646-9

Alashan, S., Arra, A. A., & Sisman, E. (2024). Standardized innovative polygon trend analysis for climate change assessment (S-IPTA). Pure and Applied Geophysics, 181(7), 2277–2295. https://doi.org/10.1007/s00024-024-03525-w

Arun, S., & Malaisamy, A. (2024). An economic analysis of Vellore GI spiny brinjal in organic and inorganic vegetable farming. Asian Journal of Agricultural Extension, Economics & Sociology, 42(6), 262–269. https://doi.org/10.9734/ajaees/2024/v42i62488

Department of Agriculture & Farmers Welfare. (2025, June 24). Statistical horticulture estimates. Ministry of Agriculture & Farmers Welfare, Government of India. https://agriwelfare.gov.in/en/StatHortEst

Directorate of Economics and Statistics. (2023). Agricultural statistics at a glance 2023. Department of Agriculture & Farmers Welfare, Government of India. https://desagri.gov.in/wp-content/uploads/2024/09/Agricultural-Statistics-at-a-Glance-2023.pdf

Ghosh, B. K. (2021). Profitability analysis of vegetable production in a selected area of Paschim Medinipur District of West Bengal. Indian Journal of Economics and Business, 20(1).

Hiremath, G. (2021). Production and marketing efficiency of non-notified vegetable: A case study of brinjal in Kalaburagi District of Karnataka. International Journal of Current Microbiology and Applied Sciences. https://doi.org/10.20546/ijcmas.2021.1003.080

Kundu, P., Adhikary, N. K., & Ghosal, A. (2019). Vegetables marketing scenario and trends in prices and arrivals of vegetables in different markets of South 24 Parganas. International Journal of Current Microbiology and Applied Sciences, 8(12), 1821–1840. https://doi.org/10.20546/ijcmas.2019.812.218

Mishra, R., & Kumar, D. A. (2012). Price behaviour of major vegetables in hill region of Nepal: An econometric analysis. SAARC Journal of Agriculture, 10(2), 107–120.

Mondal, M., Ali, H., & Bera, B. K. (2019). An economic analysis of brinjal (Solanum melongena L.) cultivation in Nadia District of West Bengal, India. International Journal of Current Microbiology and Applied Sciences, 8(11), 210–216. https://doi.org/10.20546/ijcmas.2019.811.026

National Bank for Agriculture and Rural Development. (2020). Impact assessment of COVID-19 on Indian agriculture and rural economy. https://www.nabard.org/auth/writereaddata/tender/1211203145ImpactAssessmentofCOVID.pdf

Paul, R. K., Yeasin, M., Kumar, P., Kumar, P., Balasubramanian, M., Roy, H. S., Paul, A. K., & Gupta, A. (2022). Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India. PLOS ONE, 17(e0270553). https://doi.org/10.1371/journal.pone.0270553

Rayhan, S. J., Islam, M. J., Kazal, M. M. H., & Kamruzzaman, M. (2021). Value chain analysis of brinjal in the Chittagong Hill Tracts of Bangladesh. Asian Journal of Agricultural Extension, Economics & Sociology, 145–157. https://doi.org/10.9734/ajaees/2021/v39i330555

Saikia, S. (2020). Behaviour of price and market arrival of brinjal in the wholesale vegetable markets of Assam. International Journal of Management, 11(12), 4327–4334. https://doi.org/10.17605/OSF.IO/YUZ4W

Şan, M., Akcay, F., Nguyen, L. T. T., Kankal, M., & Pham, Q. B. (2021). Innovative and polygonal trend analyses applications for rainfall data in Vietnam. Theoretical and Applied Climatology, 144, 809–822. https://doi.org/10.1007/s00704-021-03574-4

Sarkar, S., Das, S., Dutta, S., Bera, B., Bera, M., Roy, D., Middya, M. H., & Choudhury, M. R. (2024). Evaluation of the behavior of prices and market arrivals of tomatoes: A case study of West Bengal, India. Agricultural & Rural Studies, 2(2). https://doi.org/10.59978/ar02020008

Sen, Z. (2012). Innovative trend analysis methodology. Journal of Hydrologic Engineering, 17, 1042–1046. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000556

Sen, Z., Sisman, E., & Dabanli, I. (2019). Innovative polygon trend analysis (IPTA) and applications. Journal of Hydrology, 575, 202–210. https://doi.org/10.1016/j.jhydrol.2019.05.028

Singh, S., Kumar Maurya, M., & Mishra, A. (2023). Study on supply chain management and marketing of brinjal in Varanasi district of Uttar Pradesh. The Pharma Innovation Journal, 12, 2906–2909.

Sunil, J., Singh, A., Manjubala, M., & Rajpoot, K. (2024). Innovative polygon trend analyses to detect trends for domestic and export onion prices. International Journal of Vegetable Science, 30(1), 40–55. https://doi.org/10.1080/19315260.2023.2293875

Tamilselvi, C., Mohan Naidu, G., Ramana Murthy, B., & Rajeswari, S. (2021). Behaviour of market arrivals and prices of vegetables in Koyambedu market, Chennai. International Journal of Agricultural and Statistical Sciences, 17(1), 133–137.

Thakur, N. (2022). Dynamics of prices and arrivals of major vegetables: A case of North Indian markets. Agro-Economist, 9(1). https://doi.org/10.30954/2394-8159.01.2022.5

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Published

08-01-2026

Data Availability Statement

None

Issue

Section

Research Papers

How to Cite

Pooja, A., Gupta, D. S., Basak, P., Debnath, M. K., Chatterjee, R., Hath, T. K., & Sujayasree, O. J. (2026). Spatio-temporal dynamics of brinjal prices and arrivals: A case study of theterai region markets in West Bengal. Journal of Horticultural Sciences, 20(2). https://doi.org/10.24154/jhs.v20i2.4263

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